

package com.hazelcast.jet.impl.pipeline.transform;

import com.hazelcast.function.SupplierEx;
import com.hazelcast.function.ToLongFunctionEx;
import com.hazelcast.jet.function.TriFunction;
import com.hazelcast.jet.impl.pipeline.PipelineImpl.Context;
import com.hazelcast.jet.impl.pipeline.Planner;
import com.hazelcast.jet.impl.pipeline.Planner.PlannerVertex;
import com.hazelcast.jet.impl.util.ConstantFunctionEx;

import javax.annotation.Nonnull;
import java.io.Serial;

import static com.hazelcast.jet.core.processor.Processors.mapStatefulP;

public class GlobalMapStatefulTransform<T, S, R> extends AbstractTransform {

    @Serial
    private static final long serialVersionUID = 1L;

    private final ToLongFunctionEx<? super T> timestampFn;
    private final SupplierEx<? extends S> createFn;
    private final TriFunction<? super S, Object, ? super T, ? extends R> statefulMapFn;

    public GlobalMapStatefulTransform(@Nonnull Transform upstream, @Nonnull ToLongFunctionEx<? super T> timestampFn, @Nonnull SupplierEx<? extends S> createFn, @Nonnull TriFunction<? super S, Object, ? super T, ? extends R> statefulMapFn) {
        super("map-stateful-global", upstream);
        this.timestampFn = timestampFn;
        this.createFn = createFn;
        this.statefulMapFn = statefulMapFn;
    }

    @Override
    public void addToDag(Planner p, Context context) {
        determinedLocalParallelism(1);
        ConstantFunctionEx<T, Integer> keyFn = new ConstantFunctionEx<>(name().hashCode());
        PlannerVertex pv = p.addVertex(this, name(), determinedLocalParallelism(), mapStatefulP(Long.MAX_VALUE, keyFn, timestampFn, createFn, statefulMapFn, null));
        p.addEdges(this, pv.v, edge -> edge.partitioned(keyFn).distributed());
    }
}
